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Graduate student or PhD student as a GTA to work with one of our tenured faculty to support their research and teaching for the Fall 2025 and Spring 2026 semesters. Required Qualifications Candidate must be
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logistic regression, structural equation modeling, vector autoregression, and cross-lagged panel analysis); open-ended data mining; applied machine learning including Natural Language Processing, Large
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for a highly motivated candidate with: a MSc degree in plant biology, bioinformatics and statistics, microbiology or a related field; a strong interest in plant-microbe interactions and data mining
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Assistant Professor of Geology or Geological Engineering Posting Number F01581P Department SDSMT-Geology
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analysis, interactive data visualization, programming or similar software applications. Knowledge of use of data mining. Ability to research and develop statistical learning models for data analysis. Ability
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Status: Closed Applications open: 12/09/2024 Applications close: 28/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information Mr Keiran McNamara AO was a
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an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Pharmacology or a related discipline with a demonstrated record of excellence in research and teaching. The successful
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 3 months ago
transformations in health and geriatric care in the Strukturwandelregion (former coal-mining region) of Saxony-Anhalt. The successful candidate will observe, follow, and engage various stakeholders (tech companies
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video
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measure their properties? This project will focus on that key question, with students learning how to mine the vast new data resource that is the LSST. For more information on this project please contact